CN115497314A - Ecological driving method for intelligent internet automobile to pass through intersection without stopping - Google Patents

Ecological driving method for intelligent internet automobile to pass through intersection without stopping Download PDF

Info

Publication number
CN115497314A
CN115497314A CN202211074470.3A CN202211074470A CN115497314A CN 115497314 A CN115497314 A CN 115497314A CN 202211074470 A CN202211074470 A CN 202211074470A CN 115497314 A CN115497314 A CN 115497314A
Authority
CN
China
Prior art keywords
vehicle
intersection
time
acceleration
stop line
Prior art date
Legal status (The legal status is an assumption and is not a legal conclusion. Google has not performed a legal analysis and makes no representation as to the accuracy of the status listed.)
Granted
Application number
CN202211074470.3A
Other languages
Chinese (zh)
Other versions
CN115497314B (en
Inventor
单肖年
万长薪
Current Assignee (The listed assignees may be inaccurate. Google has not performed a legal analysis and makes no representation or warranty as to the accuracy of the list.)
Hohai University HHU
Original Assignee
Hohai University HHU
Priority date (The priority date is an assumption and is not a legal conclusion. Google has not performed a legal analysis and makes no representation as to the accuracy of the date listed.)
Filing date
Publication date
Application filed by Hohai University HHU filed Critical Hohai University HHU
Priority to CN202211074470.3A priority Critical patent/CN115497314B/en
Publication of CN115497314A publication Critical patent/CN115497314A/en
Application granted granted Critical
Publication of CN115497314B publication Critical patent/CN115497314B/en
Active legal-status Critical Current
Anticipated expiration legal-status Critical

Links

Images

Classifications

    • GPHYSICS
    • G08SIGNALLING
    • G08GTRAFFIC CONTROL SYSTEMS
    • G08G1/00Traffic control systems for road vehicles
    • G08G1/09Arrangements for giving variable traffic instructions
    • G08G1/0962Arrangements for giving variable traffic instructions having an indicator mounted inside the vehicle, e.g. giving voice messages
    • G08G1/0967Systems involving transmission of highway information, e.g. weather, speed limits
    • G08G1/096708Systems involving transmission of highway information, e.g. weather, speed limits where the received information might be used to generate an automatic action on the vehicle control
    • GPHYSICS
    • G08SIGNALLING
    • G08GTRAFFIC CONTROL SYSTEMS
    • G08G1/00Traffic control systems for road vehicles
    • G08G1/01Detecting movement of traffic to be counted or controlled
    • G08G1/0104Measuring and analyzing of parameters relative to traffic conditions
    • G08G1/0125Traffic data processing
    • GPHYSICS
    • G08SIGNALLING
    • G08GTRAFFIC CONTROL SYSTEMS
    • G08G1/00Traffic control systems for road vehicles
    • G08G1/01Detecting movement of traffic to be counted or controlled
    • G08G1/052Detecting movement of traffic to be counted or controlled with provision for determining speed or overspeed

Landscapes

  • Physics & Mathematics (AREA)
  • General Physics & Mathematics (AREA)
  • Life Sciences & Earth Sciences (AREA)
  • Atmospheric Sciences (AREA)
  • Chemical & Material Sciences (AREA)
  • Analytical Chemistry (AREA)
  • Traffic Control Systems (AREA)

Abstract

The invention discloses an ecological driving method for an intelligent internet automobile to pass through an intersection without stopping. The solving time of the single vehicle track is about 6ms, and the method can be practically applied to the intelligent networked automobile, so that the intelligent networked automobile can pass through the intersection without stopping, the traffic jam is effectively reduced, and the energy utilization efficiency of the vehicle is improved.

Description

Ecological driving method for intelligent internet automobile passing intersection without stopping
Technical Field
The invention belongs to the technical field of traffic engineering, and particularly relates to an ecological driving method for intelligent internet automobiles to pass through intersections without stopping.
Background
The existing research on ecological driving of intelligent internet automobiles is that the application number is 2021115540021, the name of the invention is an invention patent application of an ecological driving method of an automatic driving automobile passing through a signalized intersection, the application number is 201810047026.X, the name of the invention is an invention patent of an ecological driving behavior optimization method of an urban road intersection based on reinforcement learning, and the like. The method can reduce the energy consumption of the vehicle in the running process to the maximum extent, and reduce the vehicle travel time to a certain extent. However, since the vehicle energy consumption estimation model is usually a nonlinear function with a complex structure, it is difficult to obtain an analytic solution from the established optimization model, and the method for solving the numerical solution requires iteration to converge the result, and the iterative convergence process generally requires a relatively long calculation time, and is difficult to implement in a real traffic system which changes in real time.
Disclosure of Invention
The invention aims to provide a simple ecological driving method with quick operation time, which aims to effectively avoid the burden of nonlinearity of an energy consumption estimation model on the calculation efficiency by selecting an intelligent internet automobile to pass through an intersection without stopping, so that the automobile can pass through the intersection in a smooth and stable track, and the additional energy consumption caused by a severe acceleration and deceleration process is reduced. By adopting the ecological driving strategy provided by the invention, the calculation time can reach millisecond level, and the ecological driving strategy can be practically applied to intelligent networked automobiles, so that traffic jam is relieved, and traffic energy consumption is reduced.
In order to achieve the purpose, the invention adopts the technical scheme that:
an ecological driving method for enabling an intelligent internet automobile to pass through an intersection without stopping comprises the following steps:
s1, obtaining speed and position information of a vehicle, speed and position information of a front vehicle, and intersection signal phase and timing information;
obtaining the current speed v of the vehicle n And a distance S from the front vehicle n And front vehicle speed v n-1 The remaining driving time t at the intersection last Distance d between the vehicle and the stop line at the intersection n,sl Distance d between front vehicle and stop line at intersection n-1,sl And the time t required by the intersection signal lamp to turn to the next green lamp phase g Number of front vehicles N from the vehicle to the intersection stop line pre
S2, calculating the safe acceleration of the vehicle;
safety device for vehicleThe velocity is expressed as: when the current vehicle suddenly brakes, the vehicle runs at the next moment with an acceleration value in order to avoid collision; considering that an Intelligent Driver Model (IDM) can effectively meet the requirement of safe driving of a vehicle and is widely applied to traffic simulation, the IDM acceleration is selected as the safe acceleration a of the vehicle n,IDM
Step S2 is to calculate a vehicle safe acceleration, specifically:
calculating the safe acceleration a according to the current speed, the speed and the distance of the vehicle n,IDM (ii) a Let the current vehicle speed be v n Front vehicle speed v n-1 And a distance S from the front vehicle n The maximum speed of the vehicle is v n,max The maximum acceleration a of the vehicle n,max The safe following time interval is tau, the comfortable deceleration is a n,b Minimum safe distance s 0
Firstly, the expected following distance of the vehicle is calculated
Figure BDA0003831014660000021
The safe acceleration of the vehicle is then determined
Figure BDA0003831014660000022
S3, judging whether the vehicle can pass through the intersection or not;
from the current speed v of the vehicle n Safe acceleration a n,IDM Distance d between the vehicle and the stop line at the intersection n,sl Calculating the time delta t required by the vehicle to exit the stop line according to the original state sl . Comparison of Δ t sl And the remaining driving time t of the intersection last The remaining driving time of the signalized intersection is the sum of the remaining green light time and the remaining yellow light time; if Δ t sl ≤t last It is stated that the vehicle can drive through the intersection in the current state, without ecological driving guidance, the vehicle will remain at the safe acceleration a n,IDM Running; otherwise, the vehicle can not drive out of the intersection in a safe driving state, the driving mode of the vehicle needs to be changed, and an ecological driving guidance strategy is carried out;
step S3 is to determine whether the vehicle can pass through the intersection, specifically:
from the current speed v of the vehicle n Safe acceleration a n,IDM Distance d between vehicle and stop line of intersection sl Calculating the time delta t required by the vehicle to exit the stop line according to the original state sl And the remaining running time t at the intersection last And judging whether the vehicle can pass through the intersection or not. Δ t sl The specific calculation process is as follows:
1)、a n,IDM if the speed of the vehicle is higher than 0, the acceleration of the vehicle is illustrated, and the time for the vehicle to accelerate to the maximum speed is calculated
Figure BDA0003831014660000023
If t is acc >t last
Figure BDA0003831014660000024
t acc ≤t last
Figure BDA0003831014660000031
2)、a n,IDM Less than or equal to 0, indicating the deceleration of the vehicle and calculating the braking time of the vehicle
Figure BDA0003831014660000032
If t is dec >t last
Figure BDA0003831014660000033
t dec ≤t last ,Δt sl =∞。
S4, predicting the time when the vehicle actually passes through the stop line of the intersection;
when the vehicle can not drive out of the intersection in a safe state, the vehicle can drive out of the intersection according to the residual driving time t of the intersection last The time t required by the next green light phase g Its front vehicle speed v n-1 Distance d between the front vehicle and the stop line of the intersection n-1,sl Saturated headway t hw And the number N of front vehicles from the vehicle to the stop line pre Predicting the time t of the vehicle passing through the stop line of the intersection sl
Δt sl Press the carTime, delta t, of crossing calculated from body speed and acceleration sl The traffic signal phase is not taken into account, so when Δ t sl <t last In time, the time when the vehicle passes through the intersection needs to be predicted again, namely t sl
Step S4 is to predict the time when the vehicle actually passes through the stop line at the intersection, specifically:
when the vehicle cannot exit the intersection in a safe state, the vehicle is driven according to the speed v of the vehicle ahead n-1 Distance d between front vehicle and stop line at intersection n-1,sl And the number N of front vehicles from the vehicle to the stop line at the intersection pre Predicting the time t of the vehicle actually passing through the stop line of the intersection sl ,t sl The specific calculation process is as follows:
1)、N pre =0, the vehicle is a head vehicle, the vehicle cannot exit from the intersection in the current signal period, the vehicle exits from the intersection at the green light turn-on time of the next period, and t sl =t g
2)、N pre Not equal to 0, calculating the time required by the front vehicle to pass through the intersection at a constant speed
Figure BDA0003831014660000034
If it is
Figure BDA0003831014660000035
The front vehicle can pass through the stop line at a constant speed, and the vehicle can drive through the stop line in the current signal period at the same time
Figure BDA0003831014660000036
If it is
Figure BDA0003831014660000037
The fact that the front vehicle can pass through the stop line at a constant speed in the current signal period but the vehicle can not pass through the stop line along with the front vehicle is shown, and t is the moment sl =t g (ii) a If it is
Figure BDA0003831014660000038
The front vehicle can not drive out of the stop line of the intersection in the current signal period, and t is at the moment sl =t g +Δt+N pre t hw
S5, calculating the ecological acceleration of the vehicle;
according to the distance d between the vehicle and the stop line at the intersection n,sl Predicting the time t when the vehicle actually passes through the intersection sl Determining the average speed of the vehicle passing through the intersection without stopping
Figure BDA0003831014660000041
Then pass through
Figure BDA0003831014660000042
v n And determining the ecological acceleration of the vehicle at the next moment by unit simulation step length delta t
Figure BDA0003831014660000043
S6, determining the final acceleration of the vehicle;
ecological acceleration a taking into account vehicle dynamics n,eco Should be greater than the maximum allowable braking acceleration a of the vehicle n,min (ii) a Simultaneously, considering the driving safety of the vehicle, the ecological acceleration a 'is obtained from the acceleration of the vehicle' n And a safe acceleration a n,IDM Medium to small value to obtain final acceleration a' n =min(a n,IDM ,max(a n,eco ,a n,min ));
S7, updating the vehicle state;
by final acceleration a' n Calculating unit simulation step length delta t to obtain speed v 'of the vehicle at the next moment' n =v n +a′ n And delta t, obtaining the distance between the vehicle at the next moment and the stop line at the intersection:
Figure BDA0003831014660000044
s8, judging the vehicle state;
analyzing the distance d 'between the next moment of the vehicle and the stop line at the intersection' n,sl If d' n,sl If the vehicle is still in the intersection, the vehicle is determined again according to the steps S1 to S6A time state; if d is n,sl Less than or equal to 0, the vehicle is driven out of the intersection without ecological speed induction, and the vehicle is driven at a n,IDM And driving until the vehicle is driven out of the intersection.
Compared with the prior art, the invention has the beneficial effects that:
on the basis of the current state and the IDM acceleration of the vehicle, the invention takes the speed and the position of the vehicle and the signal phase and the timing of the intersection as input variables and outputs the acceleration of the vehicle at the subsequent time to obtain the space-time change track of the intelligent networked vehicle, so that the intelligent networked vehicle can pass through the intersection without stopping, the traffic delay is reduced, and the traffic energy consumption is reduced. The solving time of the single-vehicle track is about 6ms, and the method can be practically applied to the intelligent networked automobile, so that the intelligent networked automobile can pass through the intersection without stopping, the traffic jam is effectively reduced, and the energy utilization efficiency of the automobile is improved.
Drawings
FIG. 1 is a flow chart of the method of the present invention;
FIG. 2 is a position-time diagram of an embodiment of the present invention and a manual drive;
FIG. 3 is a velocity-time diagram of an embodiment of the present invention with manual driving;
FIG. 4 is an acceleration-time diagram of an embodiment of the present invention and manual driving;
FIG. 5 is a graph of instantaneous energy consumption versus time for an embodiment of the invention and for manual driving.
Detailed Description
The invention is further described with reference to the accompanying drawings.
Example 1
As shown in fig. 1, the method in this embodiment includes the following steps:
s1, obtaining speed and position information of a vehicle, speed and position information of a front vehicle, and intersection signal phase and timing information;
with vehicle speed v n Distance S from the front vehicle of =10m/S n =60m, distance d from the stop line at the intersection n,sl =200m, front speed v n-1 =12m/s, distance d between the leading vehicle and the intersection n-1,sl =140m, traffic from the host vehicle to the trafficNumber of front vehicles N of fork parking line pre =2, intersection remaining travel time t last =10s, time t required for signal lamp to turn to next green lamp phase g =40s。
S2, calculating the safe acceleration of the vehicle;
speed limit v of assumed intersection n,max =18m/s, maximum acceleration a of the vehicle n,max =2.5m/s 2 Comfort deceleration a n,b = 2m/s, maximum braking acceleration a n,min =-4m/s 2 The safe following distance tau =1.6s and the minimum safe distance s 0 =2m, saturated headway t hw =2s, unit simulation step Δ t =1s.
Calculating the expected following distance of the vehicle
Figure BDA0003831014660000051
Safe acceleration
Figure BDA0003831014660000052
S3, judging whether the vehicle can pass through the intersection or not;
a n,IDM (ii) 0, indicating vehicle acceleration, calculating the time for the vehicle to accelerate to maximum speed:
Figure BDA0003831014660000053
has t acc ≤t last =10s,
Figure BDA0003831014660000054
Δt sl ≥t last The vehicle cannot pass through the intersection according to the current state, and ecological driving induction is needed.
S4, predicting the time when the vehicle actually passes through the stop line of the intersection;
N pre not equal to 0, calculating the time required by the front vehicle to pass through the intersection at a constant speed
Figure BDA0003831014660000061
Is provided with
Figure BDA0003831014660000062
Indicating that the front vehicle can not drive out of the stop line of the intersection in the current signal period, t sl =40+1+2×2=45s。
S5, calculating the ecological acceleration of the vehicle;
determining the average speed of the vehicle passing through the intersection without stopping:
Figure BDA0003831014660000063
then pass through
Figure BDA0003831014660000064
v n And determining the ecological acceleration of the vehicle at the next moment by the unit simulation step length delta t:
Figure BDA0003831014660000065
s6, determining the final acceleration of the vehicle;
final acceleration:
a′ n =min(a n,IDM ,max(a n,eco ,a n,min ))=min(2.2,max(-5.6,-4))=-4m/s 2
s7, updating the vehicle state;
the speed of the vehicle at the next moment:
v′ n =v n +a′ n Δ t =10+ (-4) × 1=6m/s, and the distance from the stop line at the intersection at the next moment of the vehicle is obtained:
Figure BDA0003831014660000066
s8, judging the vehicle state;
d n,sl more than or equal to 0, the vehicle is still positioned in the intersection, the updated speed and position information of the vehicle is recorded, and the next vehicle is determined again according to the steps S1 to S6And (4) the state of time until the vehicle is driven out of the stop line of the intersection.
Example 2
Taking the intersection length as 400m and the length of one vehicle as 6m; the simulated vehicles have the same dynamic parameters; the speed limit at the intersection is 18m/s, the initial speed of the vehicle is 10m/s, and the maximum acceleration of the vehicle is 2.5m/s 2 Comfort deceleration is-2 m/s, maximum braking acceleration is-4 m/s 2 The safe following time interval is 1.6s, and the minimum safe interval is 2m; the signal period duration is 60s, wherein the green light is 30s, the yellow light is 3s, the red light is 27s, and the signal lamp is in a green light on state initially. The simulation coding software is Matlab, the computer display card is Intel i5-9300H, and the memory is 16GB.
FIG. 2 shows the operation of an embodiment of the present invention in a particular simulation environment. The scene has two tracks, wherein the track implementing the ecological driving method is called ecological driving; without the implementation of the ecological driving method of the present invention, the trajectory calculated by IDM is called as ecological-free driving. As can be seen from fig. 2, for the vehicle implementing ecological driving, the time for the vehicle to exit the intersection is substantially lower than the non-ecological driving state; the implementation of the ecological driving method effectively improves the road passing efficiency and reduces traffic jam to a certain extent; taking a third vehicle as an example, as can be seen from fig. 3-4, the vehicle ecologically driven by the method has stable speed and acceleration along with time change, so that the severe acceleration and deceleration process of the vehicle is effectively reduced, and the driving safety and comfort are improved. Meanwhile, as can be seen from fig. 5, considering that the vehicle is driven by fuel oil, the vehicle Energy consumption is estimated through the fuel oil vehicle instantaneous Energy consumption model proposed in the paper Energy-related model of instant fuel consumption compatibility by BIGGS D C and AKCELIK R, and then the instantaneous Energy consumption of the vehicle under the ecological driving method is obviously superior to that of the non-ecological driving method by using fig. 5, so that the vehicle driving Energy consumption is effectively reduced.

Claims (3)

1. An ecological driving method for enabling an intelligent internet automobile to pass through an intersection without stopping is characterized by comprising the following steps of:
s1, obtaining speed and position information of a vehicle, speed and position information of a vehicle ahead, road characteristics of an intersection, and intersection signal phase and timing information;
the intelligent networked automobile obtains the current speed v of the automobile through the automobile-to-automobile communication and automobile-to-road communication technology n And a distance S from the front vehicle n And front vehicle speed v n-1 Distance d between the vehicle and the stop line at the intersection n,sl Distance d between front vehicle and stop line at intersection n-1,sl The remaining driving time t at the intersection last The time t required by the intersection signal lamp to turn to the next green lamp phase g The number N of front vehicles away from the stop line of the intersection pre
S2, calculating the safe acceleration of the vehicle;
selecting IDM acceleration as vehicle safety acceleration a n,IDM (ii) a The specific method for calculating the safe acceleration of the vehicle comprises the following steps:
calculating the safe acceleration a according to the current speed, the speed and the distance of the vehicle n,IDM (ii) a Noting the current vehicle speed as v n Front vehicle speed v n-1 And a distance S from the front vehicle n The maximum speed of the vehicle is v n,max The maximum acceleration a of the vehicle n,max The safe following time interval is tau, the comfortable deceleration is a n,b Minimum safety distance s 0
Firstly, calculating the expected following distance of the vehicle:
Figure FDA0003831014650000011
the vehicle safe acceleration is then determined:
Figure FDA0003831014650000012
s3, judging whether the vehicle can pass through the intersection or not;
from the current speed v of the vehicle n Safe acceleration a n,IDM Distance d between the vehicle and the stop line at the intersection n,sl Calculating the time delta t required by the vehicle to exit the stop line according to the original state sl (ii) a Comparison of Δ t sl And the remaining driving time t of the intersection last The remaining driving time of the signalized intersection is the sum of the remaining green light time and the remaining yellow light time; if it isΔt sl ≤t last It is stated that the vehicle can drive through the intersection in the current state without ecological driving guidance, and the vehicle will remain at the safe acceleration a n,IDM Driving; otherwise, the vehicle can not drive out of the intersection in a safe driving state, the driving mode of the vehicle needs to be changed, and an ecological driving guidance strategy is carried out;
s4, predicting the time when the vehicle actually passes through the stop line of the intersection;
when the vehicle can not drive out of the intersection in a safe state, the vehicle can drive out of the intersection according to the remaining driving time t of the intersection last The time t required by the next green light phase g Its front vehicle speed v n-1 Distance d between the front vehicle and the stop line of the intersection n-1,sl Saturated headway t hw And the number N of front vehicles from the vehicle to the stop line pre Predicting the time t of the vehicle passing through the stop line of the intersection sl
S5, calculating the ecological acceleration of the vehicle;
according to the distance d between the vehicle and the stop line of the intersection n,sl Predicting the time t for the vehicle to actually pass through the intersection sl Determining the average speed of the vehicle passing through the intersection without stopping
Figure FDA0003831014650000021
Then pass through
Figure FDA0003831014650000022
v n And determining the ecological acceleration of the vehicle at the next moment by unit simulation step length delta t
Figure FDA0003831014650000023
S6, determining the final acceleration of the vehicle;
considering the vehicle dynamics, ecological acceleration a n,eco Should be greater than the maximum allowable braking acceleration a of the vehicle n,min (ii) a Simultaneously, considering the driving safety of the vehicle, the ecological acceleration a 'is obtained from the acceleration of the vehicle' n And a safe acceleration a n,IDM The medium and small value obtains the final acceleration a' n =min(a n,IDM ,max(a n,eco ,a n,min ));
S7, updating the vehicle state;
by final acceleration a' n Calculating unit simulation step length delta t to obtain speed v 'of the vehicle at the next moment' n =v n +a′ n And delta t, obtaining the distance between the vehicle at the next moment and the stop line at the intersection:
Figure FDA0003831014650000024
s8, judging the vehicle state;
analyzing the distance d 'between the next moment of the vehicle and the stop line at the intersection' n,sl If d' n,sl If the current time is more than 0, the vehicle is still positioned in the intersection, and the state of the vehicle at the next time is determined again according to the steps S1 to S6; if d' n,sl Less than or equal to 0, the vehicle is driven out of the intersection without ecological speed induction, and the vehicle is driven at a n,IDM And driving until the vehicle is driven out of the intersection.
2. The ecological driving method for enabling the intelligent internet-connected vehicle to pass through the intersection without stopping according to claim 1, wherein the delta t in the step S3 sl The specific calculation process is as follows:
31)、a n,IDM if the speed is more than 0, the vehicle is accelerated, and the time for the vehicle to accelerate to the maximum speed is calculated
Figure FDA0003831014650000025
If t is acc >t last
Figure FDA0003831014650000026
t acc ≤t last
Figure FDA0003831014650000031
32)、a n,IDM Less than or equal to 0, indicating the deceleration of the vehicle and calculating the braking time of the vehicle
Figure FDA0003831014650000032
If t dec >t last
Figure FDA0003831014650000033
t dec ≤t last ,Δt sl =∞。
3. The ecological driving method for the intelligent internet-connected vehicle to pass through the intersection without stopping according to claim 1, wherein the step S4 of predicting the time for the vehicle to actually pass through the intersection and stop the line specifically comprises the following steps:
when the vehicle cannot exit the intersection in a safe state, the vehicle is driven according to the speed v of the vehicle ahead n-1 Distance d between the front vehicle and the stop line at the intersection n-1,sl And the number N of front vehicles from the vehicle to the stop line at the intersection pre Predicting the time t of the vehicle actually passing through the stop line of the intersection sl ,t sl The specific calculation process is as follows:
41)、N pre =0, the vehicle is a head vehicle, cannot exit the intersection in the current signal period, and exits the intersection at the green light turn-on time in the next period t sl =t g
42)、N pre Not equal to 0, calculating the time required by the front vehicle to pass through the intersection at constant speed
Figure FDA0003831014650000034
If it is
Figure FDA0003831014650000035
The front vehicle can pass through the stop line at a constant speed, and the vehicle can drive through the stop line in the current signal period at the same time
Figure FDA0003831014650000036
If it is
Figure FDA0003831014650000037
The front vehicle can pass through the stop line at a constant speed in the current signal period, but the vehicle does notCan follow the front vehicle to pass through the stop line, at the moment t sl =t g (ii) a If it is
Figure FDA0003831014650000038
The front vehicle can not drive out of the stop line of the intersection in the current signal period, and t is at the moment sl =t g +Δt+N pre t hw
CN202211074470.3A 2022-09-03 2022-09-03 Ecological driving method for intelligent network-connected automobile passing through intersection without stopping Active CN115497314B (en)

Priority Applications (1)

Application Number Priority Date Filing Date Title
CN202211074470.3A CN115497314B (en) 2022-09-03 2022-09-03 Ecological driving method for intelligent network-connected automobile passing through intersection without stopping

Applications Claiming Priority (1)

Application Number Priority Date Filing Date Title
CN202211074470.3A CN115497314B (en) 2022-09-03 2022-09-03 Ecological driving method for intelligent network-connected automobile passing through intersection without stopping

Publications (2)

Publication Number Publication Date
CN115497314A true CN115497314A (en) 2022-12-20
CN115497314B CN115497314B (en) 2023-10-24

Family

ID=84468886

Family Applications (1)

Application Number Title Priority Date Filing Date
CN202211074470.3A Active CN115497314B (en) 2022-09-03 2022-09-03 Ecological driving method for intelligent network-connected automobile passing through intersection without stopping

Country Status (1)

Country Link
CN (1) CN115497314B (en)

Citations (9)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
JP2014096013A (en) * 2012-11-08 2014-05-22 Honda Motor Co Ltd Driving support device for vehicle
CN106846867A (en) * 2017-03-29 2017-06-13 北京航空航天大学 Signalized intersections green drives speed abductive approach and analogue system under a kind of car networking environment
CN111243304A (en) * 2020-01-19 2020-06-05 河北工业大学 Control method for controlling intersection based on ACC vehicle at V2I signal
CN112373472A (en) * 2021-01-14 2021-02-19 长沙理工大学 Method for controlling vehicle entering time and running track at automatic driving intersection
CN113313939A (en) * 2021-05-14 2021-08-27 河海大学 Single lane cellular automata model simulation method considering acceleration continuity
CN113393688A (en) * 2021-05-13 2021-09-14 杭州电子科技大学 Intersection ecological driving optimization method based on queue length prediction
WO2021227502A1 (en) * 2020-05-14 2021-11-18 同济大学 Method for traffic light and vehicle track control at signalized intersection
CN113689692A (en) * 2021-07-14 2021-11-23 东南大学 Intelligent network connection mixed traffic flow signal intersection vehicle arrival prediction correction method
CN114333364A (en) * 2021-12-17 2022-04-12 宁波大学 Ecological driving method for automatically-driven vehicle to pass through signalized intersection

Patent Citations (9)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
JP2014096013A (en) * 2012-11-08 2014-05-22 Honda Motor Co Ltd Driving support device for vehicle
CN106846867A (en) * 2017-03-29 2017-06-13 北京航空航天大学 Signalized intersections green drives speed abductive approach and analogue system under a kind of car networking environment
CN111243304A (en) * 2020-01-19 2020-06-05 河北工业大学 Control method for controlling intersection based on ACC vehicle at V2I signal
WO2021227502A1 (en) * 2020-05-14 2021-11-18 同济大学 Method for traffic light and vehicle track control at signalized intersection
CN112373472A (en) * 2021-01-14 2021-02-19 长沙理工大学 Method for controlling vehicle entering time and running track at automatic driving intersection
CN113393688A (en) * 2021-05-13 2021-09-14 杭州电子科技大学 Intersection ecological driving optimization method based on queue length prediction
CN113313939A (en) * 2021-05-14 2021-08-27 河海大学 Single lane cellular automata model simulation method considering acceleration continuity
CN113689692A (en) * 2021-07-14 2021-11-23 东南大学 Intelligent network connection mixed traffic flow signal intersection vehicle arrival prediction correction method
CN114333364A (en) * 2021-12-17 2022-04-12 宁波大学 Ecological driving method for automatically-driven vehicle to pass through signalized intersection

Non-Patent Citations (2)

* Cited by examiner, † Cited by third party
Title
单肖年;郑长江: "交通状态对车辆能耗与排放特征的影响", 2019年中国城市交通规划年会, pages 1 - 8 *
杨澜;赵祥模;吴国垣;徐志刚;MATTHEW BARTH;惠飞;郝鹏;韩梦杰;赵周桥;房山;景首才: "智能网联汽车协同生态驾驶策略综述", 交通运输工程学报, vol. 20, no. 005, pages 58 - 72 *

Also Published As

Publication number Publication date
CN115497314B (en) 2023-10-24

Similar Documents

Publication Publication Date Title
CN106997690B (en) Non-forced lane changing control method for vehicles on expressway in Internet of vehicles environment
CN110992677B (en) Intelligent networking automobile formation control method and system for coping with communication abnormity
CN101565041B (en) Driving support device, driving support method, and driving support program
CN115497315B (en) Dynamic bus lane energy-saving optimization control method under vehicle-road cooperative environment
KR20080045763A (en) Deceleration control apparatus and method for vehicle
CN103918018A (en) Driving assistance device
US20120167708A1 (en) Device for generating an additional restoring force at the gas pedal and method for the operation thereof
CN103661392A (en) Brake apply and release detection for stop/start vehicle
CN112519774B (en) Adaptive cruise control method and system
CN104794265B (en) A kind of movement based on acceleration information follows design methods
CN113963564B (en) Method, system and medium for planning optimal passing speed of continuous signal lamp road vehicle
CN111932910A (en) Real-time dynamic variable lane safety control method under intelligent vehicle-road cooperative environment
CN103661384A (en) Dynamic filtering for stop/start vehicle launch preparation
CN110239558A (en) A kind of driving style hierarchical fuzzy identifying system based on migration index
CN107766615A (en) Mainline toll station ETC Warning Marks based on dynamics simulation are set apart from method for evaluating safety
CN113312752A (en) Traffic simulation method and device for main road priority control intersection
CN115662131A (en) Multi-lane cooperative lane changing method for road accident section in networking environment
CN114333364A (en) Ecological driving method for automatically-driven vehicle to pass through signalized intersection
CN114987538A (en) Collaborative lane changing method considering multi-objective optimization in internet automatic driving environment
CN115817460A (en) Intelligent network vehicle-connected active coordination collision avoidance method under mixed flow condition
CN111476491A (en) Vehicle motion simulation analysis method in urban traffic scene
CN112542061B (en) Lane borrowing and overtaking control method, device and system based on Internet of vehicles and storage medium
Kamal et al. Eco-driving using real-time optimization
CN112959996B (en) Vehicle control method and device and vehicle
CN106097421B (en) Traffic animation simulation system based on truthful data

Legal Events

Date Code Title Description
PB01 Publication
PB01 Publication
SE01 Entry into force of request for substantive examination
SE01 Entry into force of request for substantive examination
GR01 Patent grant
GR01 Patent grant